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Article dans une revue

Theoretical Performance of Space-Time Adaptive Processing for Ship Detection by High-Frequency Surface Wave Radars

Jean-Marc Le Caillec 1, 2 Tomasz Gorski 3 Guillaume Sicot 4 Adam Kawalec 3
1 Lab-STICC_IMTA_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
4 Lab-STICC_ENSTAB_CID_PRASYS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, we analyze the levels of performance of the (full or reduced versions of) space-time adaptive processing (STAP) algorithms applied to high-frequency surface wave radars (HFSWRs) for marine target detection to verify whether this family outperforms the usual moving target indication (MTI) algorithms. In fact, STAP algorithms have well-known drawbacks (e.g., large amount of secondary data). The propagation and backscattering of radar signals are included in the covariance matrix calculation. Since the propagation and backscattering have to be derived from physical features of the sea (e.g., sea Doppler) and the atmosphere, we also include the difference induced by the waveform (pulsed radar/chirp) in our study. Moreover, since the inverse covariance matrix is used in the target detection algorithms, matrix conditioning is also inspected for practical implementation reasons. We numerically detail the performance (signal noise clutter ratio and conditioning number of the STAP algorithms) with regards to the MTI performance for several configurations of radar and sea state. These results show that the improvements of signal noise clutter ratio are counterbalanced by a raise of the conditioning number, except in the case of eigencanceler approach. The sea-state parameters have few effects on the performance unlike to radar parameters.
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https://hal.archives-ouvertes.fr/hal-01759071
Contributeur : Bibliothèque Télécom Bretagne <>
Soumis le : jeudi 5 avril 2018 - 09:50:52
Dernière modification le : mardi 5 janvier 2021 - 11:48:04

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Jean-Marc Le Caillec, Tomasz Gorski, Guillaume Sicot, Adam Kawalec. Theoretical Performance of Space-Time Adaptive Processing for Ship Detection by High-Frequency Surface Wave Radars. IEEE Journal of Oceanic Engineering, Institute of Electrical and Electronics Engineers, 2018, 43 (1), pp.238-257. ⟨10.1109/JOE.2017.2758858⟩. ⟨hal-01759071⟩

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